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A fine-grained recognition of Named Entities in ELTeC collection using cascades
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In: Final Action Event of COST Action Distant Reading for European Literary History ; https://hal.archives-ouvertes.fr/hal-03615219 ; Final Action Event of COST Action Distant Reading for European Literary History, Christof Schöch, Apr 2022, Krakow, Poland ; https://www.distant-reading.net/events/conference-programme/ (2022)
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UNITEX 3.3 User Manual
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In: https://hal.archives-ouvertes.fr/hal-03589580 ; 2021 (2021)
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UNITEX 3.3 Manuel d'utilisation
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In: https://hal.archives-ouvertes.fr/hal-03589598 ; 2021 (2021)
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Mise en ligne de la cascade CasEN de recherche d’entités nommées en français (1.1), version TEI
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In: https://hal.archives-ouvertes.fr/hal-01764756 ; 2018, http://tln.li.univ-tours.fr/Tln_CasEN.html (2018)
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Serbian Language Integration in Prolexbase Multilingual Dictionary
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In: ISSN: 1450-9687 ; EISSN: 2217-9461 ; INFOtheca : Journal of Information and Library Science ; https://hal.archives-ouvertes.fr/hal-02050875 ; INFOtheca : Journal of Information and Library Science, Serbian Academic Library Association, 2018, 18 (2), pp.29-52 ; https://infoteka.bg.ac.rs/ojs/index.php/Infoteka/article/view/2018.18.2.2_en/143 (2018)
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ASRextractor: A Tool extracting Semantic Relations between Arabic Named Entities
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In: 3rd International Conference on Arabic Computational Linguistics (ACLing 2017) ; https://hal-univ-tours.archives-ouvertes.fr/hal-01632858 ; 3rd International Conference on Arabic Computational Linguistics (ACLing 2017), Nov 2017, Dubai, United Arab Emirates ; http://acling2017.org/ (2017)
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Abstract:
International audience ; Since the MUC-7, the extraction of the Semantic Relation (SR) extraction has been started aiming to detect the significant links between Named Entities (NEs). This task is evolved in many domains to realize several objectives such as corpora and electronic NE dictionary enrichment. In this context, we propose a rue-based system called ASRextractor, which extracts and annotates SRs relating Arabic NEs (ANEs). The SR extraction is based on an annotated Arabic Wikipedia corpus and it helps us identify 18 SR types such as synonymy and origin. For the SR annotation, our proposed system reposes on an annotation syntax respecting the TEI (Text Encoding Initiative) recommendation. Moreover, ASRextractor is based on finite state transducers, which ensure both the extraction and annotation process. The established transducers are regrouped inside an analysis cascade in a predefined order. The metric values show that our obtained results are encouraging.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic Named Entity; Arabic Wikipedia; Semantic Relation; TEI recommendation; transducer casacde
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URL: https://hal-univ-tours.archives-ouvertes.fr/hal-01632858
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CasANER: Arabic Named Entity Recognition Tool
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In: Intelligent Natural Language Processing: Trends and Applications ; https://hal.archives-ouvertes.fr/hal-01643271 ; Shaalan K., Hassanien A., Tolba F. Intelligent Natural Language Processing: Trends and Applications, Springer, Cham, pp.173-198, 2017, Studies in Computational Intelligence, 978-3-319-67055-3 (2017)
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Extraction of Semantic Relation between Arabic Named Entities Using Different Kinds of Transducer Cascades
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In: 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017) ; https://hal.archives-ouvertes.fr/hal-01491290 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing 2017), Apr 2017, Budapest, Hungary ; http://www.cicling.org/2017/ (2017)
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A Semi-automatic and Low Cost Approach to Build Scalable Lemma-based Lexical Resources for Arabic Verbs
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In: International Journal of Information Technology and Computer Science(IJITCS) ; https://hal.archives-ouvertes.fr/hal-01270974 ; International Journal of Information Technology and Computer Science(IJITCS), IJIT, 2016, 8 (2), pp.1-13 ; http://www.mecs-press.org/ijitcs/ijitcs-v8-n2/IJITCS-V8-N2-1.pdf (2016)
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Covering various Needs in Temporal Annotation: a Proposal of Extension of ISO TimeML that Preserves Upward Compatibility
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In: LREC 2016 proceedings ; LREC 2016 ; https://halshs.archives-ouvertes.fr/halshs-01318792 ; LREC 2016, May 2016, Portorož Slovenia (2016)
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Estimate the notoriety of a Proper name using Wikipedia ; Estimer la notoriété d’un nom propre via Wikipedia
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In: TALN 2016 ; https://hal.archives-ouvertes.fr/hal-01455571 ; TALN 2016, Jul 2016, Paris, France ; https://jep-taln2016.limsi.fr/actes/Actes%20JTR-2016/V02-TALN.pdf (2016)
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Recognition and TEI annotation of Arabic Events Using Transducers
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In: 17th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01291336 ; 17th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2016, Konya, Turkey (2016)
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Using finite-state transducers to build lexical resources for Unitex Arabic package
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In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177017 ; CEC-TAL, Mar 2015, Sousse, Tunisia. pp.90-100 (2015)
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Mise en ligne de ProLMF, version 2.2, au format XML LMF (norme ISO-24613:2008) de la base de données Prolexbase sur le site du CNRTL
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In: https://hal.archives-ouvertes.fr/hal-01229951 ; 2015, http://www.cnrtl.fr/lexiques/prolex/ (2015)
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A Multilingual Corpus for the Study of Toponyms in Translation
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In: Challenges in Synchronic Toponymy: Structure, Context and Use ; https://hal.archives-ouvertes.fr/hal-01230007 ; Challenges in Synchronic Toponymy: Structure, Context and Use, Francke A. Verlag, 2015, 978-3-7720-8479-9 (2015)
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Transducers cascades for an automatic recognition of Arabic named entities in order to establish links to free resources
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In: 16th International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01230026 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics, Apr 2015, Cairo, Egypt. pp.61-67 ; http://www.cicling.org/2015/ (2015)
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Construction d’une cascade de transducteurs pour la reconnaissance des dates à partir d’un corpus Wikipédia
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In: CEC-TAL ; https://hal.archives-ouvertes.fr/hal-01177022 ; CEC-TAL, Mar 2015, Sousse, Tunisie. pp.8-11 (2015)
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Automatiser le processus d’anonymisation des corpus oraux : le cas d’ESLO
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In: TALN2015 ; https://hal.archives-ouvertes.fr/hal-01174647 ; TALN2015, Jun 2015, Caen, France ; https://taln2015.greyc.fr/articlesenlignetaln/ (2015)
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Arabic Named Entity Recognition Process using Transducer Cascade and Arabic Wikipedia
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In: RANLP 2015 ; https://hal.archives-ouvertes.fr/hal-01376732 ; RANLP 2015, Sep 2015, Hissar, Bulgaria ; http://lml.bas.bg/ranlp2015/start1.php (2015)
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Using Finite-State Transducers to Build Lexical Resources for Unitex Arabic Package ...
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